Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...
In robotic harvesting and yield prediction scenarios, real-time visual recognition of tomato fruit size often requires additional distance sensors or reference objects for measuring dimensions. This ...
Self-driving cars can’t afford mistakes. Missing a traffic light or a pedestrian could mean disaster. But object detection in dynamic urban environments? That’s hard. I worked on optimizing object ...
FedPylot is an open-source lightweight MPI-based program designed to explore and simplify the federated training of real-time object detection models, particularly for the purpose of autonomous ...
Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...
Abstract: The application of deep learning for small object detection in unmanned aerial vehicle (UAV) remote sensing imagery has garnered increasing attention across various domains. However, current ...
Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning ...
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